Optimizing Reactome TRUST

项目总结/摘要 我们寻求对Reactome核心运营资金的补充支持 人类生物学途径和过程的知识库。Reactome是一个策划 知识库作为一个开放获取的资源，可以免费使用， 由生物和生物医学研究界的所有成员重新分发。使用它 临床医生，基因组学研究人员和分子生物学家解释高- 通量实验研究，生物信息学家寻求开发新的算法， 从基因组研究中挖掘知识，并由系统生物学家建立预测模型 正常和疾病变异途径的区别。我们的馆长，博士-科学家们密切合作， 社区内的独立调查人员收集机器可读的描述， 人类生物学途径。在出版之前，每个途径都经过检查和同行评审， 确保其事实准确性并符合数据模型。证据追踪系统 确保主文献支持所有断言。Reactome使用社区标准 受控词汇表和本体，以增加跨资源的互操作性。途径 定期进行检讨和更新。Reactome途径可在我们的网站上获得， 浏览，下载，并可访问内部和第三方分析工具。的 该项目在文献中被高度引用，已被反复使用，使生物学意义重大。 和临床发现，并被纳入许多高影响力的信息学工具， 资源 在接下来的12个月里，为了加强我们对TRUST原则的采用，我们将 改善我们的策展和质量保证的相关功能，并开发智能用户 分析系统，以更好地了解我们的用户社区和工具和数据集成商。我们将 构建工具来监控数据使用情况，以通知我们的更新计划，并改善用户对 遗留数据。与此同时，我们将[自动化数据收集，使我们的措施更加详细， 可靠和一致。为了进一步向研究界证明Reactome是一个 值得信赖的数据存储库，并推动我们自己的进一步指标的发展，我们将应用 获得CoreTrustSeal认证。

Project Summary/Abstract We seek supplemental support to the core operating funding for the Reactome Knowledgebase of human biological pathways and processes. Reactome is a curated knowledgebase available online as an open access resource that can be freely used and redistributed by all members of the biological and biomedical research communities. It is used by clinicians, genomics researchers, and molecular biologists to interpret the results of high- throughput experimental studies, by bioinformaticians seeking to develop novel algorithms for mining knowledge from genomic studies, and by systems biologists building predictive models of normal and disease variant pathways. Our curators, Ph.D.-level scientists, work closely with independent investigators within the community to assemble machine-readable descriptions of human biological pathways. Each pathway is checked and peer-reviewed prior to publication to ensure its factual accuracy and compliance with the data model. A system of evidence tracking ensures that the primary literature supports all assertions. Reactome uses community-standard controlled vocabularies and ontologies to increase interoperability across resources. Pathways are reviewed and updated regularly. Reactome pathways are available on our website for browsing, downloading, and are accessible to in-house and third-party analysis tools. The project is highly cited in the literature, has been used repeatedly to make significant biological and clinical discoveries, and is incorporated into many high-impact informatics tools and resources. Over the next twelve months, to strengthen our adoption of the TRUST principles, we will improve relevant features of our curation and quality assurance and develop an intelligent user profiling system to better understand our user community and tool and data integrators. We will build tools to monitor data usage to inform our update schedule and to improve user access to legacy data. In parallel, we will [automate data collection, making our measures more detailed, reliable, and consistent. To further demonstrate to the research community that Reactome is a trustworthy data repository, and to drive our own development of further metrics we will apply for CoreTrustSeal certification.